2024
Effects of a dietary intervention on cardiometabolic risk and food consumption in a workplace
Shrestha A, Tamrakar D, Ghinanju B, Shrestha D, Khadka P, Adhikari B, Shrestha J, Waiwa S, Pyakurel P, Bhandari N, Karmacharya B, Shrestha A, Shrestha R, Bhatta R, Malik V, Mattei J, Spiegelman D. Effects of a dietary intervention on cardiometabolic risk and food consumption in a workplace. PLOS ONE 2024, 19: e0301826. PMID: 38656951, PMCID: PMC11042715, DOI: 10.1371/journal.pone.0301826.Peer-Reviewed Original ResearchConceptsConsumption of whole grainsHealthy foodPre-post intervention studyWhole grainsMedian consumptionCardiovascular risk factor profileRisk factor profileBlood pressureWorksite settingWorksite interventionsUnhealthy foodsHealth programsMeasured blood pressurePre-hypertensionCardiometabolic riskDiastolic blood pressureIntervention studiesFactors dietPaired-t testFactor profileFasting glucose levelsDhulikhel HospitalHospital premisesEmployee healthHospital employees
2022
Measurement error affecting web- and paper-based dietary assessment instruments: Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error
Kirkpatrick S, Troiano R, Barrett B, Cunningham C, Subar A, Park Y, Bowles H, Freedman L, Kipnis V, Rimm E, Willett W, Potischman N, Spielgelman D, Baer D, Schoeller D, Dodd K. Measurement error affecting web- and paper-based dietary assessment instruments: Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error. American Journal Of Epidemiology 2022, 191: kwac026-. PMID: 35136928, PMCID: PMC9393065, DOI: 10.1093/aje/kwac026.Peer-Reviewed Original ResearchConceptsFood frequency questionnaireSingle food frequency questionnaireDietary assessment instrumentsFood recordsTrue usual intakeFrequency questionnaireUsual intakeAssessment instrumentsRecovery biomarkersEpidemiologic researchCorrelation coefficientValidation studyAverage attenuationCohortStudyIntakeBiomarkersDiet- and Lifestyle‐Based Prediction Models to Estimate Cancer Recurrence and Death in Patients With Stage III Colon Cancer (CALGB 89803/Alliance)
Cheng E, Ou FS, Ma C, Spiegelman D, Zhang S, Zhou X, Bainter TM, Saltz LB, Niedzwiecki D, Mayer RJ, Whittom R, Hantel A, Benson A, Atienza D, Messino M, Kindler H, Giovannucci EL, Van Blarigan EL, Brown JC, Ng K, Gross CP, Meyerhardt JA, Fuchs CS. Diet- and Lifestyle‐Based Prediction Models to Estimate Cancer Recurrence and Death in Patients With Stage III Colon Cancer (CALGB 89803/Alliance). Journal Of Clinical Oncology 2022, 40: 740-751. PMID: 34995084, PMCID: PMC8887946, DOI: 10.1200/jco.21.01784.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantColonic NeoplasmsDietFemaleFollow-Up StudiesHumansLife StyleMaleMiddle AgedModels, StatisticalMulticenter Studies as TopicNeoplasm Recurrence, LocalNomogramsPrognosisRandomized Controlled Trials as TopicRisk FactorsSurvival RateConceptsStage III colon cancerDisease-free survivalLifestyle factorsSelf-reported dietPathologic featuresColon cancerPathologic characteristicsMultivariable Cox proportional hazards regressionCox proportional hazards regressionAdjuvant chemotherapy trialsProportional hazards regressionPredictive survivalChemotherapy trialsDFS eventsOverall survivalSurvival prediction modelHazards regressionSurvival outcomesVisual nomogramLifestyle habitsPatient outcomesCancer recurrenceLifestyle exposuresPatientsCancer
2019
Substituting brown rice for white rice on diabetes risk factors in India: a randomised controlled trial
Malik V, Sudha V, Wedick N, RamyaBai M, Vijayalakshmi P, Lakshmipriya N, Gayathri R, Kokila A, Jones C, Hong B, Li R, Krishnaswamy K, Anjana R, Spiegelman D, Willett W, Hu F, Mohan V. Substituting brown rice for white rice on diabetes risk factors in India: a randomised controlled trial. British Journal Of Nutrition 2019, 121: 1389-1397. PMID: 31006420, PMCID: PMC6948352, DOI: 10.1017/s000711451900076x.Peer-Reviewed Original ResearchConceptsBrown rice groupMetabolic syndromePrimary outcomeRisk factorsHigh-sensitivity C-reactive proteinRandomised cross-over trialT2D risk factorsDiabetes risk factorsC-reactive proteinCross-over trialType 2 diabetesWhite rice groupMeals/dHs-CRPSecondary outcomesElevated BMIWashout periodInsulin resistanceBlood glucoseEpidemiological evidenceWhite riceT2D riskUrban South IndiaBMISyndrome
2013
Determinants of anemia in postpartum HIV-negative women in Dar es Salaam, Tanzania
Petraro P, Duggan C, Urassa W, Msamanga G, Makubi A, Spiegelman D, Fawzi WW. Determinants of anemia in postpartum HIV-negative women in Dar es Salaam, Tanzania. European Journal Of Clinical Nutrition 2013, 67: 708-717. PMID: 23612515, PMCID: PMC3775569, DOI: 10.1038/ejcn.2013.71.Peer-Reviewed Original ResearchMeSH KeywordsAnemia, Iron-DeficiencyCD4 Lymphocyte CountDietDietary SupplementsErythrocyte IndicesFemaleFolic AcidHemoglobinsHIV InfectionsHumansIron, DietaryMaternal Nutritional Physiological PhenomenaMultivariate AnalysisPostpartum PeriodPregnancyProportional Hazards ModelsProspective StudiesRisk FactorsSocioeconomic FactorsTanzaniaConceptsIron/folate supplementationIron deficiency anemiaDeterminants of anemiaDeficiency anemiaFolate supplementationDelivery complicationsPregnant womenRisk factorsMultivariate Cox proportional hazards modelNon-anemic pregnant womenCox proportional hazards modelCD4 cell countHIV-negative womenModifiable risk factorsProspective cohort studyMaternal nutritional statusWeeks of gestationManagement of infectionsProportional hazards modelDar es SalaamSub-Saharan African womenBaseline anemiaIncident anemiaAnemic womenPostpartum anemiaDietary Patterns, Nutrient Intake, and Sociodemographic Characteristics in HIV-Infected Tanzanian Pregnant Women
Lukmanji Z, Hertzmark E, Spiegleman D, Fawzi WW. Dietary Patterns, Nutrient Intake, and Sociodemographic Characteristics in HIV-Infected Tanzanian Pregnant Women. Ecology Of Food And Nutrition 2013, 52: 34-62. PMID: 23282190, DOI: 10.1080/03670244.2012.705768.Peer-Reviewed Original ResearchConceptsPregnant womenNutrient intakeTanzanian pregnant womenWorld Health Organization recommendationsDietary macronutrient intakeLongitudinal clinical trialsVitamin supplementationClinical trialsDietary intakeMacronutrient intakeDietary patternsDiet intakeFood composition tablesHigh riskWomen's ageSociodemographic characteristicsIntakeInadequate foodDar es SalaamWomenHIVTwo-thirdsEducation levelComposition tablesAge
2011
Socio-economic status, urbanization, and cardiometabolic risk factors among middle-aged adults in Tanzania.
Njelekela MA, Liu E, Mpembeni R, Muhihi A, Mligiliche N, Spiegelman D, Finkelstein JL, Fawzi WW, Willett WC, Mtabaji J. Socio-economic status, urbanization, and cardiometabolic risk factors among middle-aged adults in Tanzania. East African Journal Of Public Health 2011, 8: 216-23. PMID: 23120960.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesDietExerciseFemaleHealth BehaviorHumansLife StyleLipidsLogistic ModelsMaleMetabolic SyndromeMiddle AgedObesityResidence CharacteristicsRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesTanzaniaUrban HealthUrbanizationWaist CircumferenceConceptsCardiometabolic risk factorsPoorer lipid profileHigher socioeconomic statusRisk factorsLipid profileSocioeconomic statusUrban residenceCardio-metabolic risk factorsWorld Health Organization criteriaHigher total cholesterolHigh waist circumferenceRisk of obesityHealth screening strategiesMiddle-aged adultsMetabolic syndromeTotal cholesterolWaist circumferenceLDL cholesterolHigher BMIPrimary preventionLower triglyceridesOrganization criteriaDietary factorsCardiovascular diseaseGlucose levelsFatty acids in the de novo lipogenesis pathway and risk of coronary heart disease: the Cardiovascular Health Study
Wu J, Lemaitre RN, Imamura F, King IB, Song X, Spiegelman D, Siscovick DS, Mozaffarian D. Fatty acids in the de novo lipogenesis pathway and risk of coronary heart disease: the Cardiovascular Health Study. American Journal Of Clinical Nutrition 2011, 94: 431-438. PMID: 21697077, PMCID: PMC3142722, DOI: 10.3945/ajcn.111.012054.Peer-Reviewed Original ResearchConceptsCoronary heart diseaseNonfatal myocardial infarctionSudden cardiac arrestFatal coronary heart diseaseTotal coronary heart diseaseIncident coronary heart diseaseDe novo lipogenesisHigh riskCHD eventsHeart diseaseMultivariable-adjusted Cox proportional hazardsCommunity-based prospective studySecondary analysisCardiovascular disease risk factorsCardiovascular Health StudyDisease risk factorsFatty acidsCox proportional hazardsDe novo lipogenesis pathwayCHD deathCHD outcomesProspective studyCardiac arrestMyocardial infarctionMedical recordsNutritional and sensory profile of two Indian rice varieties with different degrees of polishing
Shobana S, Malleshi N, Sudha V, Spiegelman D, Hong B, Hu F, Willett W, Krishnaswamy K, Mohan V. Nutritional and sensory profile of two Indian rice varieties with different degrees of polishing. International Journal Of Food Sciences And Nutrition 2011, 62: 800-810. PMID: 21619458, PMCID: PMC6512801, DOI: 10.3109/09637486.2011.585962.Peer-Reviewed Original Research
2010
Lipid-soluble vitamins A, D, and E in HIV-infected pregnant women in Tanzania
Mehta S, Spiegelman D, Aboud S, Giovannucci EL, Msamanga GI, Hertzmark E, Mugusi FM, Hunter DJ, Fawzi WW. Lipid-soluble vitamins A, D, and E in HIV-infected pregnant women in Tanzania. European Journal Of Clinical Nutrition 2010, 64: 808-817. PMID: 20517330, PMCID: PMC3078753, DOI: 10.1038/ejcn.2010.76.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAnemia, Iron-DeficiencyAvitaminosisBlood SedimentationCD8-Positive T-LymphocytesCell CountDietFemaleGestational AgeHemoglobinsHIV InfectionsHumansNutritional StatusPregnancyPrevalenceRegression AnalysisSeleniumTanzaniaVitamin AVitamin A DeficiencyVitamin DVitamin D DeficiencyVitamin EVitamin E DeficiencyYoung AdultConceptsErythrocyte sedimentation rateVitamin E statusPregnant womenLipid-soluble vitaminsVitamin APlasma vitaminGestational ageLow vitaminE statusLow vitamin D statusHigh erythrocyte sedimentation rateLow vitamin E statusLipid-soluble vitamins ACD8 cell countsVitamin D statusHuman immunodeficiency virusPlasma vitamin EPoor nutritional statusPlasma vitamin ALow plasma vitamin AResource-limited settingsD statusLaboratory parametersImmunodeficiency virusSevere anemia
2009
Intakes of Fruit, Vegetables, and Carotenoids and Renal Cell Cancer Risk: A Pooled Analysis of 13 Prospective Studies
Lee JE, Männistö S, Spiegelman D, Hunter DJ, Bernstein L, van den Brandt PA, Buring JE, Cho E, English DR, Flood A, Freudenheim JL, Giles GG, Giovannucci E, Håkansson N, Horn-Ross PL, Jacobs EJ, Leitzmann MF, Marshall JR, McCullough ML, Miller AB, Rohan TE, Ross JA, Schatzkin A, Schouten LJ, Virtamo J, Wolk A, Zhang SM, Smith-Warner SA. Intakes of Fruit, Vegetables, and Carotenoids and Renal Cell Cancer Risk: A Pooled Analysis of 13 Prospective Studies. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 1730-1739. PMID: 19505906, PMCID: PMC2883186, DOI: 10.1158/1055-9965.epi-09-0045.Peer-Reviewed Original ResearchConceptsPooled multivariate relative risksRenal cell cancerMultivariate relative riskCell cancerRelative riskVegetable consumptionProspective studyPooled analysisStudy-specific relative risksRenal cell cancer riskCox proportional hazards modelFood frequency questionnaireIntake of fruitsLutein/zeaxanthinProportional hazards modelRandom-effects modelTotal vegetablesIncident casesLowest quintileVegetable intakeCancer riskHazards modelCancerTotal fruitRisk
2005
Dietary Patterns and the Risk of Breast Cancer
Adebamowo CA, Hu FB, Cho E, Spiegelman D, Holmes MD, Willett WC. Dietary Patterns and the Risk of Breast Cancer. Annals Of Epidemiology 2005, 15: 789-795. PMID: 16257363, DOI: 10.1016/j.annepidem.2005.01.008.Peer-Reviewed Original ResearchConceptsPrudent dietary patternDietary patternsBreast cancerNurses' Health Study IIMajor dietary patternsHealth Study IIWestern dietary patternFood frequency questionnaireInvasive breast cancerPre-menopausal womenBreast cancer riskSecular trend studiesCumulative average scoreMultivariate RRsPremenopausal womenFrequency questionnaireLowest quintileInverse associationWestern dietCancer riskOverall associationCancerFurther evaluationStudy IIRiskFruits and Vegetables and Ovarian Cancer Risk in a Pooled Analysis of 12 Cohort Studies
Koushik A, Hunter DJ, Spiegelman D, Anderson KE, Arslan AA, Beeson WL, van den Brandt PA, Buring JE, Cerhan JR, Colditz GA, Fraser GE, Freudenheim JL, Genkinger JM, Goldbohm RA, Hankinson SE, Koenig KL, Larsson SC, Leitzmann M, McCullough ML, Miller AB, Patel A, Rohan TE, Schatzkin A, Smit E, Willett WC, Wolk A, Zhang SM, Smith-Warner SA. Fruits and Vegetables and Ovarian Cancer Risk in a Pooled Analysis of 12 Cohort Studies. Cancer Epidemiology Biomarkers & Prevention 2005, 14: 2160-2167. PMID: 16172226, DOI: 10.1158/1055-9965.epi-05-0218.Peer-Reviewed Original ResearchConceptsOvarian cancer riskVegetable intakeOvarian cancerCancer riskRelative riskPooled multivariate relative risksStudy-specific relative risksInvasive epithelial ovarian cancerCox proportional hazards modelTotal fruit intakeMultivariate relative riskFood frequency questionnaireTotal vegetable intakeEpithelial ovarian cancerProportional hazards modelDifferent histologic typesRandom-effects modelCancer-preventive actionsCohort studyHistologic typeProspective studyPooled analysisFruit intakeLowest quartileHazards modelCorrelated errors in biased surrogates: study designs and methods for measurement error correction
Spiegelman D, Zhao B, Kim J. Correlated errors in biased surrogates: study designs and methods for measurement error correction. Statistics In Medicine 2005, 24: 1657-1682. PMID: 15736283, DOI: 10.1002/sim.2055.Peer-Reviewed Original ResearchDietary flavonols and flavonol‐rich foods intake and the risk of breast cancer
Adebamowo CA, Cho E, Sampson L, Katan MB, Spiegelman D, Willett WC, Holmes MD. Dietary flavonols and flavonol‐rich foods intake and the risk of breast cancer. International Journal Of Cancer 2005, 114: 628-633. PMID: 15609322, DOI: 10.1002/ijc.20741.Peer-Reviewed Original ResearchConceptsMultivariate relative riskBreast cancer riskCumulative average intakeFlavonol-rich foodsIntake of beansRelative riskBreast cancerCancer riskFlavonol intakeLowest quintileInverse associationDietary flavonolsAverage intakeNurses' Health Study IIIntake of flavonolsHealth Study IIFood frequency questionnaireInvasive breast cancerSignificant inverse associationFrequency questionnaireEpidemiological studiesAnimal studiesDietary dataOverall associationFurther evaluationA Comparison of the Clinical and Cost-Effectiveness of 3 Intervention Strategies for AIDS Wasting
Shevitz AH, Wilson IB, McDermott AY, Spiegelman D, Skinner SC, Antonsson K, Layne JE, Beaston-Blaakman A, Shepard DS, Gorbach SL. A Comparison of the Clinical and Cost-Effectiveness of 3 Intervention Strategies for AIDS Wasting. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2005, 38: 399-406. PMID: 15764956, DOI: 10.1097/01.qai.0000152647.89008.2b.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnabolic AgentsAntiretroviral Therapy, Highly ActiveBody CompositionCost-Benefit AnalysisDietFemaleHealth StatusHIV Wasting SyndromeHumansMaleMassachusettsMiddle AgedMuscle, SkeletalNutritional Physiological PhenomenaOxandrolonePhysical Education and TrainingQuality of LifeTreatment OutcomeConceptsProgressive resistance trainingCross-sectional muscle areaPhysical functioningCost-effective interventionAIDS wastingLeast cost-effective interventionBaseline physical functioningQuality of lifeInstitutional costsPlacebo pillsResistance trainingCaloric intakeProtein intakeBody compositionStrength trainingDietary intake in human immunodeficiency virus–infected adults: A comparison of dietary assessment methods
Hendricks K, Tang A, Spiegelman D, Skinner S, Woods M. Dietary intake in human immunodeficiency virus–infected adults: A comparison of dietary assessment methods. Journal Of The Academy Of Nutrition And Dietetics 2005, 105: 532-540. PMID: 15800553, DOI: 10.1016/j.jada.2005.01.028.Peer-Reviewed Original ResearchMeSH KeywordsAdultCohort StudiesDietDiet RecordsDiet SurveysDietary CarbohydratesDietary FatsDietary ProteinsEatingEnergy IntakeEthnicityFemaleHIV InfectionsHumansLongitudinal StudiesMaleMicronutrientsNutrition AssessmentNutrition PolicyRegression AnalysisReproducibility of ResultsSensitivity and SpecificitySurveys and QuestionnairesConceptsFood frequency questionnaireFood recordsDietary Reference IntakesCohort studyDietary intakeLarge cohortReference IntakesIntake dataHuman immunodeficiency virus-infected adultsNutrient intakeHuman immunodeficiency virus (HIV) infectionBlock Food Frequency QuestionnaireImmunodeficiency virus infectionHIV-positive participantsQuintile rankingsLongitudinal cohort studyMean percent agreementOngoing cohort studyProportion of subjectsDietary intake dataDietary assessment methodsNutrient intake dataEstimated nutrient intakeNutrient intake estimatesFrequency questionnaireAdult Recall of Adolescent Diet: Reproducibility and Comparison with Maternal Reporting
Maruti SS, Feskanich D, Colditz GA, Frazier AL, Sampson LA, Michels KB, Hunter DJ, Spiegelman D, Willett WC. Adult Recall of Adolescent Diet: Reproducibility and Comparison with Maternal Reporting. American Journal Of Epidemiology 2005, 161: 89-97. PMID: 15615919, PMCID: PMC2293280, DOI: 10.1093/aje/kwi019.Peer-Reviewed Original ResearchConceptsHealth Study II cohortFood frequency questionnaireAdolescent dietFrequency questionnaireNurses' Health Study II cohortSpearman rank correlationLong latency periodAssessment of validityMaternal reportingProspective dataDietary factorsNHSII participantsCancer occurrenceFood intakePearson correlationUS womenRetrospective collectionLatency periodNutrient intakeRank correlationDietFurther studiesMean Pearson correlationIntakeWomen
2004
Diet and risk of ischemic heart disease in India
Rastogi T, Reddy KS, Vaz M, Spiegelman D, Prabhakaran D, Willett WC, Stampfer MJ, Ascherio A. Diet and risk of ischemic heart disease in India. American Journal Of Clinical Nutrition 2004, 79: 582-592. PMID: 15051601, DOI: 10.1093/ajcn/79.4.582.Peer-Reviewed Original ResearchConceptsIschemic heart diseaseServings/wkIHD riskLower riskHeart diseaseInverse associationHospital-based case-control studyDose-dependent inverse associationLong-term dietary intakeFood frequency questionnaireAcute myocardial infarctionCase-control studyConditional logistic regressionPredictors of riskLower relative riskAlpha-linolenic acidBasis of ageMustard oilGreen leafy vegetablesMyocardial infarctionVegetable intakeLeading causeDietary intakeCereal intakeRelative riskDietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies
Männistö S, Smith-Warner SA, Spiegelman D, Albanes D, Anderson K, van den Brandt PA, Cerhan JR, Colditz G, Feskanich D, Freudenheim JL, Giovannucci E, Goldbohm RA, Graham S, Miller AB, Rohan TE, Virtamo J, Willett WC, Hunter DJ. Dietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies. Cancer Epidemiology Biomarkers & Prevention 2004, 13: 40-48. PMID: 14744731, DOI: 10.1158/1055-9965.epi-038-3.Peer-Reviewed Original ResearchConceptsLung cancer riskCancer riskRelative riskCohort studyLung cancerRisk factorsIncident lung cancer casesBeta-cryptoxanthin intakeMultivariate relative riskBeta-carotene intakeStrong risk factorLung cancer casesPotential risk factorsLutein/zeaxanthinRandom-effects modelDietary questionnaireCurrent smokersMultivitamin useHistological typeIntervention trialsPooled analysisEpidemiological evidenceCancer casesCarotenoid intakeFood composition databases